Result 1 to 20 of 21 total
Typical testors generation based on an evolutionary algorithm. (English)
Yin, Hujun (ed.) et al., Intelligent data engineering and automated learning ‒ IDEAL 2011. 12th international conference, Norwich, UK, September 7‒9, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-23877-2/pbk). Lecture Notes in Computer Science 6936, 58-65 (2011).
1
Decision tree induction using a fast splitting attribute selection for large datasets (English)
Expert Syst. Appl. 38, No. 11, 14290-14300 (2011).
2
Typical testors generation based on an evolutionary algorithm (English)
IDEAL, 58-65 (2011).
3
A fast implementation of the CT\_EXT algorithm for the testor property identification. (English)
Sidorov, Grigori (ed.) et al., Advances in soft computing. 9th Mexican international conference on artificial intelligence, MICAI 2010, Pachuca, Mexico, November 8‒13, 2010. Proceedings, Part II. Berlin: Springer (ISBN 978-3-642-16772-0/pbk). Lecture Notes in Computer Science 6438. Lecture Notes in Artificial Intelligence, 92-103 (2010).
4
Radon transform algorithm for fingerprint core point detection. (English)
Martínez-Trinidad, José Francisco (ed.) et al., Advances in pattern recognition. Second Mexican conference on pattern recognition, MCPR 2010, Puebla, Mexico, September 27‒29, 2010. Proceedings. Berlin: Springer (ISBN 978-3-642-15991-6/pbk). Lecture Notes in Computer Science 6256, 134-143 (2010).
5
Multivariate decision trees using different splitting attribute subsets for large datasets. (English)
Farzindar, Atefeh (ed.) et al., Advances in artificial intelligence. 23rd Canadian conference on artificial intelligence, Canadian AI 2010, Ottawa, Canada, May 31 ‒ June 2, 2010. Proceedings. Berlin: Springer (ISBN 978-3-642-13058-8/pbk). Lecture Notes in Computer Science 6085. Lecture Notes in Artificial Intelligence, 370-373 (2010).
6
Radon transform algorithm for fingerprint core point detection (English)
MCPR, 134-143 (2010).
7
A fast implementation of the CT\_EXT algorithm for the testor property identification (English)
MICAI (2), 92-103 (2010).
8
Multivariate decision trees using different splitting attribute subsets for large datasets (English)
Canadian Conference on AI, 370-373 (2010).
9
A new incremental algorithm for induction of multivariate decision trees for large datasets. (English)
Fyfe, Colin (ed.) et al., Intelligent data engineering and automated learning ‒ IDEAL 2008. 9th international conference, Daejeon, South Korea, November 2‒5, 2008. Proceedings. Berlin: Springer (ISBN 978-3-540-88905-2/pbk). Lecture Notes in Computer Science 5326, 282-289 (2008).
10
CT-EXT: An algorithm for computing typical testor set. (English)
Rueda, Luis (ed.) et al., Progress in pattern recognition, image analysis and applications. 12th Iberoamericann congress on pattern recognition, CIARP 2007, Valparaiso, Chile, November 13‒16, 2007. Proceedings. Berlin: Springer (ISBN 978-3-540-76724-4/pbk). Lecture Notes in Computer Science 4756, 506-514 (2008).
11
FS-EX plus: A new algorithm for the calculation of typical FS-testor set. (English)
Rueda, Luis (ed.) et al., Progress in pattern recognition, image analysis and applications. 12th Iberoamericann congress on pattern recognition, CIARP 2007, Valparaiso, Chile, November 13‒16, 2007. Proceedings. Berlin: Springer (ISBN 978-3-540-76724-4/pbk). Lecture Notes in Computer Science 4756, 380-386 (2008).
12
A new incremental algorithm for induction of multivariate decision trees for large datasets (English)
IDEAL, 282-289 (2008).
13
FS-EX plus: A new algorithm for the calculation of typical FS-testor set (English)
CIARP, 380-386 (2007).
14
CT-EXT: an algorithm for computing typical testor set (English)
CIARP, 506-514 (2007).
15
An image resizing algorithm for binary maps (English)
ENC, 126-132 (2004).
16
Determination of similarity threshold in clustering problems for large data sets (English)
CIARP, 611-618 (2003).
17
LC: A conceptual clustering algorithm. (English)
Perner, Petra (ed.), Machine learning and data mining in pattern recognition. 2nd international workshop, MLDM 2001, Leipzig, Germany, July 25-27, 2001. Proceedings. Berlin: Springer. Lect. Notes Comput. Sci. 2123, 117-127 (2001).
18
A clustering method for very large mixed data sets (English)
ICDM, 643-644 (2001).
19
LC: A conceptual clustering algorithm (English)
MLDM, 117-127 (2001).
20
Result 1 to 20 of 21 total
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